MicrosoftLearning / MicrosoftLearning/mslearn-mlops
Track model training with MLFlow: Despite description, ROC curve is not logged as an artifact
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- Dominant language
- Jupyter Notebook
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- 40
- Forks
- 90
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Description
The preface to the last code block says, "Finally, let's try to log an artifact. An artifact can be any file. For example, you can plot the ROC curve and store the plot as an image. The image can be logged as an artifact.
Run the following cell to log a parameter, metric, and an artifact."
However, it does not actually log the image.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
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Research direction
Open the notebook containing the quoted final code block and run that cell to inspect the MLflow run and its artifacts. Update the example so the ROC-curve image is logged, then rerun it and confirm the image appears as an artifact alongside the parameter and metric.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 72/100